Results 251 to 260 of about 38,453 (306)
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Measurement science and technology
Conventional convolutional neural networks (CNNs) predominantly emphasize spatial features of signals and often fall short in prioritizing sequential features.
Zhilin Dong, Dezun Zhao, Lingli Cui
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Conventional convolutional neural networks (CNNs) predominantly emphasize spatial features of signals and often fall short in prioritizing sequential features.
Zhilin Dong, Dezun Zhao, Lingli Cui
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SPE Journal, 2022
Relying on its strong nonlinear mapping ability, machine learning is found to be efficient and accurate for production prediction of fractured wells compared with conventional analytical methods, numerical simulations, and traditional decline curve ...
Xuechen Li +5 more
semanticscholar +1 more source
Relying on its strong nonlinear mapping ability, machine learning is found to be efficient and accurate for production prediction of fractured wells compared with conventional analytical methods, numerical simulations, and traditional decline curve ...
Xuechen Li +5 more
semanticscholar +1 more source
Capsule-Based Bidirectional Gated Recurrent Unit Networks for Question Target Classification
2018Question target classification, also known as answer type classification, turns out to be a key step for a high-performance QA system. The task has drawn more and more attention from academia and industry. This work proposes an artificial neural network architecture to classify questions according to their answer types.
Shi Chen, Bing Zheng, Tianyong Hao
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Bidirectional Gated Recurrent Unit Neural Networks for Relation Extraction of Chinese Enterprises
2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), 2020With the improvement of people's entrepreneurial awareness and the encouragement of policies, the number of enterprises is gradually increasing. However, the profit-seeking nature of enterprises has increased the number of criminal activities. In order to help financial practitioners effectively identify high-risk enterprises, legal persons or ...
Nian Yang, Dongxin Shi, Yan Hua
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IEEE Transactions on Instrumentation and Measurement
Due to the widespread adoption of electric vehicles, integrated charging stations have been increasingly applied. However, because of the extensive number of components, when a fault occurs, how to identify the faulty components is a great challenge.
Jingyang Zhou +7 more
semanticscholar +1 more source
Due to the widespread adoption of electric vehicles, integrated charging stations have been increasingly applied. However, because of the extensive number of components, when a fault occurs, how to identify the faulty components is a great challenge.
Jingyang Zhou +7 more
semanticscholar +1 more source
Attention Aware Bidirectional Gated Recurrent Unit Based Framework for Sentiment Analysis
2018Sentiment analysis is an effective technique and widely employed to analyze sentiment polarity of reviews and comments on the Internet. A lot of advanced methods have been developed to solve this task. In this paper, we propose an attention aware bidirectional GRU (Bi-GRU) framework to classify the sentiment polarity from the aspects of sentential ...
Zhengxi Tian +4 more
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An Intrusion Detection in IoT Using Bidirectional Gated Recurrent Unit with Self Attention Network
2024 Second International Conference on Networks, Multimedia and Information Technology (NMITCON)In recent years, Internet of Things (IoT) is one of the most significant trends where cyberattacks with integrated servers, communications networks, and applications are increasing at high speed.
S. Vijayaraghavan +4 more
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International Conference on Computer Science and Network Technology
Aiming at the problems of incomplete data feature extraction and long training time in the current encrypted traffic classification model, an encrypted traffic classification model based on improved densely connected network and bidirectional gated ...
Yansen Zhou, Songyan Zhou, Jianquan Cui
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Aiming at the problems of incomplete data feature extraction and long training time in the current encrypted traffic classification model, an encrypted traffic classification model based on improved densely connected network and bidirectional gated ...
Yansen Zhou, Songyan Zhou, Jianquan Cui
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Implementation of Bidirectional Gated Recurrent Units for Text Classification
2023 6th International Conference on Information and Communications Technology (ICOIACT), 2023Hannan Asrawi +2 more
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